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2 changes: 1 addition & 1 deletion examples/text_to_image/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -191,7 +191,7 @@ In a nutshell, LoRA allows adapting pretrained models by adding pairs of rank-de

- Previous pretrained weights are kept frozen so that model is not prone to [catastrophic forgetting](https://www.pnas.org/doi/10.1073/pnas.1611835114).
- Rank-decomposition matrices have significantly fewer parameters than original model, which means that trained LoRA weights are easily portable.
- LoRA attention layers allow to control to which extent the model is adapted toward new training images via a `scale` parameter.
- LoRA attention layers allow controlling to which extent the model is adapted toward new training images via a `scale` parameter.

[cloneofsimo](https://github.com/cloneofsimo) was the first to try out LoRA training for Stable Diffusion in the popular [lora](https://github.com/cloneofsimo/lora) GitHub repository.

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